Cellid and Pegatron collaborate on AR smart glasses
Cellid Inc., a developer of displays and spatial recognition engines, is collaborating with Pegatron Corporation on the launch of the Verge, next-generation AR smart glasses based on an advanced waveguide from Cellid.
The Verge 2 AR Smart Glasses, being launched by Pegatron at COMPUTEX 2025 in Taipei, are based on an ultra-light, high-efficiency, high-transmittance, fully laminated waveguide developed by Cellid, utilising its proprietary photonics technology. Designed for exceptional optical clarity and wearability, the glasses offer immersive augmented reality experiences in a slim, comfortable form factor.
“Our ultra-light, fully laminated waveguide was engineered to deliver immersive visuals while enabling slim, wearable form factors that redefine what’s possible in augmented reality,” said Satoshi Shiraga, CEO of Cellid Inc. “Verge demonstrates how advanced photonics and AI can work hand in hand to unlock a new generation of spatial experiences.”
Powered by the Qualcomm AR1 platform, Verge delivers seamless performance for navigation, information access, communications, and real-time interactions enhanced by AI. Designed to weigh only 45 grams, it offers all-day comfort without compromising capability.
Last month, Cellid announced that it raised over $7.5 million (approximately 1.1 billion yen) in a Series C Extension financing round. The funds were secured through a private placement of shares underwritten by SBI Investment Co. Ltd., IMM Investment Japan K.K., and IMM Investment Corp. Including this latest round, the total amount raised by Cellid now exceeds $15 million (6.4 billion yen). The financing will enable Cellid to boost the development of key AR glass components, such as micro projectors and waveguides.
Enabling mass adoption of AR glasses
A significant portion of individuals wear glasses, making the ability to correct vision when using AR glasses a key factor in their widespread adoption. To address this, Cellid utilises proprietary optical simulation and production technologies to develop lenses for AR glasses based on waveguide principles that are as thin and lightweight as ordinary lenses while providing clear images. Recently, the company announced the “Cellid Precision Fit Lenses” with a Diopter vision correction function, responding to customer requests and potential needs. Diopter adjustment allows users to see objects in the real world clearly, providing a more comfortable and immersive AR experience.
The technology also offers a light field control function that optimises image clarity by dynamically adjusting the optical distance of AR images across usage scenarios. Essentially, the light field control function enables fine-tuning of the viewing distance of the AR image by selecting the appropriate lens to be worn. For example, in a worksite environment, users performing close-range work while referring to AR image manuals or work videos can wear Cellid Precision Fit Lenses optimised for a specific working distance, ensuring that AR visuals align seamlessly with real-world tasks. Further, these lenses can be easily fitted to AR glasses at conventional optical shops.
Reference design
Cellid also provides a reference design that enables enterprises to evaluate a waveguide based on a diffractive optical element (DOE) methodology and microprojector technology. An SDK is also included to facilitate the development of AR glasses applications linked to generative AI and object recognition functions.
The spectacle-format AR glasses reference design features a state-of-the-art optical see-through display system with waveguide optical lenses, making the design weigh approximately 58 grams, which is as light as regular spectacles. Seamless AR spatial experience is achieved with an 8MP high-resolution, 84-degree wide-angle camera and a 3-axis IMU sensor. The AR glasses can also recognise objects and positions in real space.
The reference design can be connected to Android and Windows devices, utilising its own SDK for development to build AR spaces and content. The SDK of the reference design comes standard with an API for generative AI, making it suitable for a wide range of use cases.
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